Dialogue-based CALL

Dialogue-based Computer-Assisted Language Learning (CALL), i.e. dialogue systems, chatbots and conversational agents for language learning.

Here is a list of publications and talks on this topic:

Systèmes de dialogue pour l'apprentissage des langues : typologie des systèmes et mesure des effets

Interactivity in dialogue-based CALL practice: effects on learners perceptions and production

Introduction Dialogue-based computer-assisted language learning (CALL) allows a learner to practice an L2 by discussing with a computer. By offering a fully controllable meaning-focused learning environment, it also allows investigating the effectiveness of different modalities of interaction (Bibauw et al, 2019). In this study, we evaluate the differences in perception and production within a conversational practice with a fully interactive task-based dialogue system, in comparison with an equivalent “static” dialogue completion task.

Effects of interactivity of written practice on incidental vocabulary

Abstract (as submitted in February 2019) Dialogue-based computer-assisted language learning (CALL) allows a learner to practice an L2 by discussing with a computer. By offering a fully controllable meaning-focused learning environment, it also allows to conduct research on the effectiveness of different modalities of interaction. In this study, we compare the effects of the interactivity of the writing activity on the incidental vocabulary acquisition. Interactive learning activities are often assumed to generate more learning outcomes than non-interactive ones (Chi, 2009).

Discussing with a computer to practice a foreign language: research synthesis and conceptual framework of dialogue-based CALL

This article presents the results of a systematic review of the literature on dialogue-based CALL. Applications allowing a learner to have a conversation in a foreign language with a computer have been studied under different traditions (*intelligent tutoring systems*, *dialogue systems*, *conversational agents*, *chatbots*...). We attempt to offer a structured overview of these efforts into a conceptual framework, including an **operational definition** of dialogue-based CALL and a **typology of systems** (4 types: narrative, form-focused, goal-oriented and reactive systems) and types of dialogue, with their corresponding interactional, instructional and technological traits. We summarize the main results from empirical studies on such systems, and discuss the impact of dialogue-based CALL on motivation and L2 development.

Dialogue-based CALL: a multilevel meta-analysis

Dialogue-based computer-assisted language learning systems allow a learner to practice meaningfully an L2 with an automated agent, whether through an oral (spoken dialogue systems) or written interface (chatbots) (Bibauw, François, & Desmet, 2015). While various dialogue-based CALL systems have been developed and tested with learners against different evaluation schemes, individual evaluations have provided limited information on their effectiveness on L2 development (Bibauw, François, & Desmet, 2019). In order to obtain a better comprehension of their effects on L2 proficiency development, we conducted a meta-analysis on all the experimental studies measuring an impact of such systems on language learning outcomes (39 publications).

Dialogue-based CALL: a multilevel meta-analysis

Dialogue-based CALL systems allow a learner to practice meaningfully an L2 with an automated agent, through an oral (spoken dialogue systems) or written interface (chatbots) (Bibauw, François, & Desmet, 2015). In order to obtain a better …

Insights from a multilevel meta-analysis on the effectiveness of dialogue-based CALL

Abstract of the research methods and results Dialogue-based computer-assisted language learning (CALL) systems allow a learner to practice meaningfully a foreign language (L2) with an automated agent, whether through an oral (spoken dialogue systems) or written interface (chatbots) (Bibauw, François, & Desmet, 2015). While various dialogue-based CALL systems have been developed and tested with learners against different evaluation schemes, individual evaluations have provided limited information on their effectiveness on L2 development (Bibauw, François, & Desmet, 2019).

“Hey Siri, can I learn English by talking to you?” A meta-analysis of dialogue-based CALL

Task-based dialogue systems for language learning

Doctoral research project at KU Leuven, funded by a SENESCYT scholarship (Ecuador)

The effectiveness of dialogue-based CALL on L2 proficiency development: a meta-analysis

Dialogue-based computer-assisted language learning (CALL) systems allow a learner to practice meaningfully a foreign language (L2) with an automated agent, whether orally or through text chat. With the aim of establishing the impact of such systems …